3 papers
cs.LG2026
Comparing Classifiers: A Case Study Using PyCM
Sadra Sabouri, Alireza Zolanvari, Sepand Haghighi
Selecting an optimal classification model requires a robust and comprehensive understanding of the performance of the model. This paper provides a tutorial on the PyCM library, dem…
cs.LG2024
PyMilo: A Python Library for ML I/O
AmirHosein Rostami, Sepand Haghighi, Sadra Sabouri +1
PyMilo is an open-source Python package that addresses the limitations of existing Machine Learning (ML) model storage formats by providing a transparent, reliable, and safe method…
math.OC2023
Wasserstein distributionally robust risk-constrained iterative MPC for motion planning: computationally efficient approximations
Alireza Zolanvari, Ashish Cherukuri
This paper considers a risk-constrained motion planning problem and aims to find the solution combining the concepts of iterative model predictive control (MPC) and data-driven dis…